Srinagar, June 18 -- In a groundbreaking development, researchers at Sydney's University of Technology (UTS) are working on an artificial intelligence system that translates brainwaves into text-essentially turning thoughts into words.
Led by PhD student Charles (Jinzhao) Zhou and supervised by Chin-Teng Lin and Dr. Leong, the team has built a deep learning model that interprets signals from a 128-electrode EEG (electroencephalogram) cap. When Dr. Leong wore the cap without speaking, the model successfully generated the phrase: "I am jumping happily, it's just me."
The AI has been trained on a limited set of words and sentences to streamline recognition and reduce interference from overlapping brain signals. While similar in concept to ...
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